AWS Rust SDK Guide

AWS SDK for Rust endpoint APIs evolve with the SDK. Pin the crate versions you test, compile the example with those versions, and keep endpoint construction in one module.

Start a local adapter

This guide’s bounded example uses S3 backed by Google Cloud Storage:

Install or update the Tensor9 CLI

Install the customer CLI with Homebrew, then confirm the binary is available:

brew tap tensor9ine/tensor9
brew trust tensor9ine/tensor9
brew install tensor9
tensor9 --version

If tensor9 is already installed, run brew upgrade tensor9 instead of the install command.

Authenticate with Tensor9

A Tensor9 API key is required. Use the key issued during onboarding, or email [email protected] to request one for your organization. Do not share your account or key with another customer or organization.If your secret manager has already supplied T9_API_KEY, skip the prompt. Otherwise, enter your key at a hidden prompt in the terminal where you will run tensor9:

Bash
Zsh

set +x
IFS= read -r -s -p 'Tensor9 API key: ' T9_API_KEY
printf '\n'
export T9_API_KEY

set +x
IFS= read -r -s 'T9_API_KEY?Tensor9 API key: '
printf '\n'
export T9_API_KEY

Check that the variable is set without printing it, then verify your Tensor9 identity:

: "${T9_API_KEY:?Set T9_API_KEY before continuing}"
tensor9 whoami

Confirm that the reported identity belongs to the intended customer account. Do not continue if authentication fails or the account is wrong. Keep shell tracing disabled while using the key. Do not paste the key into commands, shell profiles, source files, screenshots or support messages.See Install and Authenticate for the planned license lifecycle, entitlements and credential boundaries.

Inspect the S3 to Google Cloud Storage mapping

Ask Tensor9 to describe the exact directed service mapping used by this guide:

tensor9 explain \
  -origin aws::1.0.0::s3 \
  -target google::1.0.0::gcs \
  -fmt Human

Read the supported S3 operations and Google Cloud Storage limitations before starting the process. The mapping is directional: this command describes S3 requests adapted to Google Cloud Storage, not the reverse direction.

Prepare Google Cloud access

Authenticate with Google Cloud using its standard Application Default Credentials chain. The adapter uses that identity when it calls Google Cloud Storage.Use a dedicated test project and narrowly scoped credentials. Do not put credentials in the command line, source code, or screenshots.

Start the S3 service adapter

Run the S3 to Google Cloud Storage adapter as a foreground process:

tensor9 adapt svc run \
  --origin aws::1.0.0::s3 \
  --backend google::1.0.0::gcs

Leave this terminal open. This is the current foreground launcher, not the pending Docker launcher for local development mode. It calls your actual target-cloud services; it is separate from the in-memory emulator. Acquisition and license renewal require Tensor9 authentication. Keep the endpoint local to your test.

Copy the listening endpoint

When the command reports its listening endpoint, copy that exact value into a second terminal:

export T9_CLOUD_ADAPTER_ENDPOINT="<endpoint printed by tensor9>"

Keep the endpoint local to the test unless you have deliberately configured network access and authentication for another machine.

Run one bounded S3 request

Continue with this page’s client or tool instructions. Point only S3 at T9_CLOUD_ADAPTER_ENDPOINT, then perform one operation whose Google Cloud Storage effect you can verify independently.Check both sides: read the S3-shaped response and inspect the native object or bucket in Google Cloud Storage. A successful client response alone does not prove that the target state is correct.

Stop the local adapter

Return to the first terminal and press Control-C. Confirm the process exits before deleting the test object or bucket with Google Cloud’s native client.If the request failed, preserve the request ID, adapter endpoint, S3 operation name, Google Cloud request ID, and any x-t9-explain-* receipt headers before stopping the process.

Choose how to set the endpoint

Set it for the process

export AWS_ENDPOINT_URL_S3="$T9_CLOUD_ADAPTER_ENDPOINT"

AWS SDK for Rust reads that service-specific setting while loading shared configuration:

use aws_config::BehaviorVersion;
use aws_sdk_s3::Client;

let shared = aws_config::defaults(BehaviorVersion::latest())
    .region("us-east-1")
    .load()
    .await;

let service = aws_sdk_s3::config::Builder::from(&shared)
    .force_path_style(true)
    .build();
let client = Client::from_conf(service);

Set it on one client

: "${T9_CLOUD_ADAPTER_ENDPOINT:?start the local adapter and copy its endpoint first}"

use aws_config::BehaviorVersion;
use aws_sdk_s3::Client;

async fn adapter_client() -> Client {
    let shared = aws_config::defaults(BehaviorVersion::latest())
        .region("us-east-1")
        .load()
        .await;

    let service = aws_sdk_s3::config::Builder::from(&shared)
        .endpoint_url(std::env::var("T9_CLOUD_ADAPTER_ENDPOINT").expect("T9_CLOUD_ADAPTER_ENDPOINT"))
        .force_path_style(true)
        .build();

    Client::from_conf(service)
}

The standard AWS credential chain supplies origin-side authentication. Target-cloud credentials remain with Cloud Adapter and do not belong in the Rust process. An explicit endpoint_url takes precedence over AWS_ENDPOINT_URL_S3.

Verify object bytes

use aws_sdk_s3::primitives::ByteStream;

let client = adapter_client().await;
let bucket = std::env::var("TEST_BUCKET")?;
let key = format!("rust/{}-hello.txt", std::time::SystemTime::now()
    .duration_since(std::time::UNIX_EPOCH)?.as_millis());
let expected = b"hello through Cloud Adapter\n".to_vec();

client.put_object()
    .bucket(&bucket)
    .key(&key)
    .content_type("text/plain")
    .body(ByteStream::from(expected.clone()))
    .send().await?;

client.head_object().bucket(&bucket).key(&key).send().await?;

let response = client.get_object().bucket(&bucket).key(&key).send().await?;
let actual = response.body.collect().await?.into_bytes();
assert_eq!(actual.as_ref(), expected.as_slice());

client.delete_object().bucket(&bucket).key(&key).send().await?;

Use an async runtime such as Tokio and bound the overall operation with a timeout appropriate to the workload. Avoid collecting unbounded production objects into memory.

Classify failures

The SDK returns SdkError, which distinguishes construction, timeout, dispatch, response, and service errors. Preserve that classification. When a service response exists, record the modeled error code and request metadata. When it does not, debug DNS, TLS, routing, or timeout behavior before blaming translation.

Production checklist

Pin and test aws-config, aws-sdk-s3, and runtime versions together.
Reuse the client and HTTP connector.
Keep endpoint, region, and addressing mode explicit.
Verify native target state after mutations.
Add an expected missing-key request.
Test pagination, multipart upload, ranges, and conditionals only if your application uses them.
Check each operation against the S3 service page.

See response headers and Testing Your Adapters for evidence to retain.

Tensor9 Cloud Adapter

How It Works

Getting Started

Configuration

Deployment

Support

Amazon Web Services

Google Cloud

Microsoft Azure

Making Trade-offs

Tuning

Debugging

Testing

Guides

Reference

AWS Rust SDK Guide

Start a local adapter

Choose how to set the endpoint

Set it for the process

Set it on one client

Verify object bytes

Classify failures

Production checklist

​Start a local adapter

​Choose how to set the endpoint

​Set it for the process

​Set it on one client

​Verify object bytes

​Classify failures

​Production checklist

Start a local adapter

Choose how to set the endpoint

Set it for the process

Set it on one client

Verify object bytes

Classify failures

Production checklist